01 Sep
|
Dun & Bradstreet India
|
India
01 Sep
Dun & Bradstreet India
India
Key Responsibilities:
- Build, and optimize scalable data pipelines and ETL/ELT workflows for large, complex datasets
- Design and implement foundational data architecture supporting identity resolution and ID graph systems
- Develop and enhance systems supporting identity resolution and ID graph construction (data ingestion, normalization, matching, and deduplication)
- Process and unify multi-source datasets (cookies, device IDs, behavioral data, third-party and proprietary data)
- Write productive, testable, and maintainable code using Python and SQL for large-scale data processing
- Optimize data models, queries, and storage strategies for performance, scalability, and cost efficiency
- Build and maintain data validation, monitoring, and alerting systems to ensure data quality and reliability
- Troubleshoot, debug, and improve existing data pipelines and infrastructure
- Own and drive complex data problems end-to-end, from initial design through production deployment
- Make and influence key technical decisions related to data architecture, scalability, and system design
- Collaborate with data, platform, DevOps, and product teams to deliver scalable, production ready solutions
- Translate business and product requirements into practical, performant data solutions
- Document data pipelines, systems, and workflows clearly
- Continuously improve system performance, data quality, and pipeline resilience.
- Contribute to building new capabilities that improve how customers understand and leverage data insights.
Key Requirements:
- 8-12+ years of hands-on experience in data engineering or large-scale data processing
- Proven experience building and maintaining production-grade data pipelines and distributed systems
- Demonstrated experience architecting and delivering large-scale data platforms or mission critical data systems
- Strong expertise in: o SQL and relational databases (Postgres, BigQuery, Redshift, etc.) Python for data processing and analysis
- Experienc
📌 Principal Data Engineer (India)
🏢 Dun & Bradstreet India
📍 India